This project explores how numerical data can be translated into interactive visual systems through the combination of artificial intelligence, statistical modelling, and mathematical algorithms. Inspired by the equation-based artworks of Hamid Naderi Yeganeh, DataMorph investigates how mathematical equations and algorithmic logic can generate interactive visual behaviour from raw data.

Rather than treating data as static numerical information, the project uses CSV datasets as inputs for mathematical systems that generate evolving visual behaviours and patterns.

To explore the project:

1. Upload a CSV dataset containing numerical values in ‘Dataset Upload’ or choose from the provided sample datasets in ‘Sample Datasets’.
2. Then select or enter a prompt from the “Try Prompts” list to generate different visual outcomes.

Note: This project is currently a work in progress and serves as an experimental prototype.

Try it out below or here on https://sammikins31.github.io/DataMorph/